Communication competence model: how to train ability to say what you really mean

Business is becoming increasingly multinational. Non-native language communication is a background activity for many jobs and a challenge for those whose first language is not English. The problem is that a non-native language activity distracts attention, increases the risk of misunderstanding, and reduces the effectiveness of professional communication. The article aims to present a Foreign Language Communicative Competence model that is a way to solve the problem and enables fluent, errorless communication that supports professional activity. The main question of the research is what learning conditions, methods and strategies, approaches, and technologies provide the development of foreign language communication competence. We used questionnaires, interviews, psychological diagnostic techniques, observations, and a pedagogical experiment in the research. The pedagogical experiments occurred at the National Aviation University in the 2021 to 2022 academic year. Two groups of second-year students majoring in “Aviation Maintenance” were involved. The experiment outcomes show the enhanced level of students’ foreign language communication competence, motivation, and engagement in learning. The developed model contributes to the ability to concentrate on the job and make quick decisions under the influence of psychological factors like time pressure, stress, or noise while speaking a foreign language.

Authors

Institutions

Publication Details

Journal
International Journal of Evaluation and Research in Education (IJERE)
Published
2024-11-21
DOI
https://doi.org/10.11591/ijere.v14i1.29806
Citations
1
Primary Topic
Foreign Language Teaching Methods
Type
article
Field-Weighted Citation Impact
2.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Communication competence model: how to train ability to say what you really mean

Надія Чернуха, Tetyana Tarnavska, Nataliia Glushanytsıa, Dmytro Kostenko et al.
1 citations
International Journal of Evaluation and Research in Education (IJERE)
Foreign Language Teaching Methods
2.10
article

Communication competence model: how to train ability to say what you really mean

Надія Чернуха, Tetyana Tarnavska, Nataliia Glushanytsıa, Dmytro Kostenko, Zoriana Krupnyk
article en
1 citations

Abstract

Business is becoming increasingly multinational. Non-native language communication is a background activity for many jobs and a challenge for those whose first language is not English. The problem is that a non-native language activity distracts attention, increases the risk of misunderstanding, and reduces the effectiveness of professional communication. The article aims to present a Foreign Language Communicative Competence model that is a way to solve the problem and enables fluent, errorless communication that supports professional activity. The main question of the research is what learning conditions, methods and strategies, approaches, and technologies provide the development of foreign language communication competence. We used questionnaires, interviews, psychological diagnostic techniques, observations, and a pedagogical experiment in the research. The pedagogical experiments occurred at the National Aviation University in the 2021 to 2022 academic year. Two groups of second-year students majoring in “Aviation Maintenance” were involved. The experiment outcomes show the enhanced level of students’ foreign language communication competence, motivation, and engagement in learning. The developed model contributes to the ability to concentrate on the job and make quick decisions under the influence of psychological factors like time pressure, stress, or noise while speaking a foreign language.

International Journal of Evaluation and Research in Education (IJERE)Vol. 14(1)
West Ukrainian National University (UA), Taras Shevchenko National University of Kyiv (UA), National University of Water and Environmental Engineering (UA)
Quality Education
Openalex Percentile: Top 11%
Foreign Language Teaching Methods
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.